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Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery
Epilepsy is a common neurological disorder in domestic dogs. However, its complex mechanism involves multiple genetic and environmental factors that make it challenging to identify the real pathogenic factors contributing to epilepsy, particularly for idiopathic epilepsy. Conventional genome-wide as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862570/ https://www.ncbi.nlm.nih.gov/pubmed/29568349 http://dx.doi.org/10.18632/oncotarget.23719 |
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author | Cui, Ze-Jia Liu, Ye-Mao Zhu, Qiang Xia, Jingbo Zhang, Hong-Yu |
author_facet | Cui, Ze-Jia Liu, Ye-Mao Zhu, Qiang Xia, Jingbo Zhang, Hong-Yu |
author_sort | Cui, Ze-Jia |
collection | PubMed |
description | Epilepsy is a common neurological disorder in domestic dogs. However, its complex mechanism involves multiple genetic and environmental factors that make it challenging to identify the real pathogenic factors contributing to epilepsy, particularly for idiopathic epilepsy. Conventional genome-wide association studies (GWASs) can detect various genes associated with epilepsy, although they primarily detect the effects of single-site mutations in epilepsy while ignoring their interactions. In this study, we used a systems genetics method combining both GWAS and gene interactions and obtained 26 significantly mutated subnetworks. Among these subnetworks, seven genes were reported to be involved in neurological disorders. Combined with gene ontology enrichment analysis, we focused on 4 subnetworks that included traditional GWAS-neglected genes. Moreover, we performed a drug enrichment analysis for each subnetwork and identified significantly enriched candidate anti-epilepsy drugs using a hypergeometric test. We discovered 22 potential drug combinations that induced possible synergistic effects for epilepsy treatment, and one of these drug combinations has been confirmed in the Drug Combination database (DCDB) to have beneficial anti-epileptic effects. The method proposed in this study provides deep insight into the pathogenesis of canine epilepsy and implications for anti-epilepsy drug discovery. |
format | Online Article Text |
id | pubmed-5862570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-58625702018-03-22 Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery Cui, Ze-Jia Liu, Ye-Mao Zhu, Qiang Xia, Jingbo Zhang, Hong-Yu Oncotarget Research Paper Epilepsy is a common neurological disorder in domestic dogs. However, its complex mechanism involves multiple genetic and environmental factors that make it challenging to identify the real pathogenic factors contributing to epilepsy, particularly for idiopathic epilepsy. Conventional genome-wide association studies (GWASs) can detect various genes associated with epilepsy, although they primarily detect the effects of single-site mutations in epilepsy while ignoring their interactions. In this study, we used a systems genetics method combining both GWAS and gene interactions and obtained 26 significantly mutated subnetworks. Among these subnetworks, seven genes were reported to be involved in neurological disorders. Combined with gene ontology enrichment analysis, we focused on 4 subnetworks that included traditional GWAS-neglected genes. Moreover, we performed a drug enrichment analysis for each subnetwork and identified significantly enriched candidate anti-epilepsy drugs using a hypergeometric test. We discovered 22 potential drug combinations that induced possible synergistic effects for epilepsy treatment, and one of these drug combinations has been confirmed in the Drug Combination database (DCDB) to have beneficial anti-epileptic effects. The method proposed in this study provides deep insight into the pathogenesis of canine epilepsy and implications for anti-epilepsy drug discovery. Impact Journals LLC 2017-12-27 /pmc/articles/PMC5862570/ /pubmed/29568349 http://dx.doi.org/10.18632/oncotarget.23719 Text en Copyright: © 2018 Cui et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Cui, Ze-Jia Liu, Ye-Mao Zhu, Qiang Xia, Jingbo Zhang, Hong-Yu Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title | Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title_full | Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title_fullStr | Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title_full_unstemmed | Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title_short | Exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
title_sort | exploring the pathogenesis of canine epilepsy using a systems genetics method and implications for anti-epilepsy drug discovery |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862570/ https://www.ncbi.nlm.nih.gov/pubmed/29568349 http://dx.doi.org/10.18632/oncotarget.23719 |
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